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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/datascimed
课程评论：没有评论
课程名称：分层医疗与精准医学中的数据科学 概述：随着生物医学和医疗保健领域可用数据量的不断增加，包括基因组数据、电子患者记录和可穿戴设备收集的数据，数据科学的最新进展正在改变生命科学，推动精准医学和分层医疗的发展。在本课程中，您将学习与分层医疗和精准医学相关的不同类型的数据和计算方法，并有机会亲身体验这些数据的处理。此外，您还将了解到领域专家的成功案例研究。 课程主题包括：（一）序列处理，（二）图像分析，（三）网络建模，（四）概率建模，（五）机器学习，（六）自然语言处理，（七）过程建模和（八）图数据。 课程大纲： - 第1周：欢迎参加课程。了解课程运作，体验Python编程。 - 第2周：介绍序列处理和医学图像分析。探索这些领域的最新进展及其在精准医学中的贡献。 - 第3周：学习概率建模和网络建模在生物医学中的应用，并介绍机器学习及其在医学领域的机会。 - 第4周：利用自然语言处理技术分析临床笔记等自由文本，了解过程建模如何帮助我们理解、分类和改善医疗过程。 - 第5周：学习图数据模型如何有效连接生命科学中的不同数据，探讨精准医学和分层医疗的社会、法律和伦理影响。 课程宣传视频链接：[点击查看视频](http://edin.ac/2pn350P)
Name:Welcome to the Course
Description:Join us this week to find out how the course works and to try your hand at programming in Python!
Name:WELCOME TO WEEK 2
Description:This week you will be introduced to Sequence Processing and Medical Image Analysis. Explore the course materials to find out about recent advances in these areas and how they contribute to Precision Medicine!
Name:WELCOME TO WEEK 3
Description:This week you will learn about Probabilistic and Network Modelling, and how they are applied to biomedicine. You will also be introduced to Machine Learning and explore the opportunities it brings to the medical field.
Name:WELCOME TO WEEK 4
Description:This week you will discover how clinical notes and other free-form text can be analysed with the use of Natural Language Processing techniques. You will also find out how Process Modelling can help us understand, stratify and improve healthcare processes.
Name:WELCOME TO WEEK 5
Description:In this final week of the course you will learn how the Graph Data model allows for effective linkage of different data in the life sciences. You will also explore societal, legal and ethical implications of precision medicine and stratified healthcare.
An increasing volume of data is becoming available in biomedicine and healthcare, from genomic data, to electronic patient records and data collected by wearable devices. Recent advances in data science are transforming the life sciences, leading to precision medicine and stratified healthcare. In this course, you will learn about some of the different types of data and computational methods involved in stratified healthcare and precision medicine. You will have a hands-on experience of working with such data. And you will learn from leaders in the field about successful case studies. Topics include: (i) Sequence Processing, (ii) Image Analysis, (iii) Network Modelling, (iv) Probabilistic Modelling, (v) Machine Learning, (vi) Natural Language Processing, (vii) Process Modelling and (viii) Graph Data. Watch the course promo video here: http://edin.ac/2pn350P
